A Novel Steganography Approach for Audio Files

Abdulrazzaq, Sazeen T.; Siddeq, Mohammed M.; Rodrigues, Marcos

doi:10.1007/s42979-020-0080-2

Cited by 16 publications

(12 citation statements)

References 13 publications

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“…The data hiding concept is presented as a tool for protecting the audio signal in [26]. The authors in this research work proposed the watermarking technique to secure the audio signals.…”

Section: Related Workmentioning

confidence: 99%

Secure Audio Transmission Over Wireless Uncorrelated Rayleigh Fading Channel

Faragallah¹,

Farouk²,

El‐Sayed³

et al. 2022

Computers, Materials &Amp; Continua

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Audio communications and computer networking play essential roles in our daily lives, including many domains with different scopes. Developments in these technologies are quick. In consequence, there is a dire need to secure these technologies up to date. This paper presents an efficient model for secure audio signal transmission over the wireless noisy uncorrelated Rayleigh fading channel. Also, the performance of the utilized multiple secret keys-based audio cryptosystem is analyzed in different transformation domains. The discrete cosine transform (DCT), the discrete sine transform (DST), and the discrete wavelet transform (DWT) are investigated in the utilized multiple secret key-based audio cryptosystem. Simulation results show consistent results with the wireless noisy channel. The performance of the proposed multiple secret keys-based audio cryptosystem can be ranked concerning the employed domain as DWT, DCT, and DST transform techniques. The simulation experiments proved that the presented multiple secret keysbased audio cryptosystem for audio signals transmitted over the wireless noisy uncorrelated Rayleigh fading channel achieves reliable and secure wireless link utilizing combined multi security layers.

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“…The data hiding concept is presented as a tool for protecting the audio signal in [26]. The authors in this research work proposed the watermarking technique to secure the audio signals.…”

Section: Related Workmentioning

confidence: 99%

Secure Audio Transmission Over Wireless Uncorrelated Rayleigh Fading Channel

Faragallah¹,

Farouk²,

El‐Sayed³

et al. 2022

Computers, Materials &Amp; Continua

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“…This quantum model was simulated and tested many times with different wave files [23]. Abdulrazzaq et al [24] studied a method that included compression-encryption of an image in an audio file. The image file was compressed by the GMPR technique that used the discrete cosine transform and high-frequency minimization encoding scheme.…”

Section: Steganography Studiesmentioning

confidence: 99%

“…On the other hand, if the snoopers extract the bits, group them into sound, and listen to them, then it won't be apparent because of the random scattering of the values. For this, the only authorized user who knows the conversion algorithm and distribution key can extract the data and recover the audio file from the cached image [24]. The type * .tiff is used to store the image that resulted from converting the audio file because it preserves all the values of the image without compression, thereby making it suitable to retain all the details of the original file.…”

Section: Characteristics Of Transformationmentioning

confidence: 99%

Securing audio transmission based on encoding and steganography

Abood

Abduljabbar²,

Sibahee³

et al. 2021

IJEECS

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One of the things that must be considered when establishing a data exchange connection is to make that communication confidential and hide the file’s features when the snoopers intercept it. In this work, transformation (encoding) and steganography techniques are invested to produce an efficient system to secure communication for an audio signal by producing an efficient method to transform the signal into a red–green–blue (RGB) image. Subsequently, this image is hidden in a cover audio file by using the least significant bit (LSB) method in the spatial and transform domains using discrete wavelet transform. The audio files of the message and the cover are in *.wav format. The experimental results showed the success of the transformation in concealing audio secret messages, as well the remarkability of the stego signal quality in both techniques. A peak signal-to-noise ratio peak signal-to-noise ratio (PSNR) scored (20-26) dB with wavelet and (81-112) dB with LSB for cover file size 4.96 MB and structural similarity index metric structural similarity index metric (SSIM) has been used to measure the signal quality which gave 1 with LSB while wavelet was (0.9-1), which is satisfactory in all experimented signals with low time consumption. This work also used these metrics to compare the implementation of LSB and WAV.

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“…To improve the undetectability of secret data, Ref. [32] proposed a framework based on Generative Adversarial Networks (GANs) to implement optimal embedding for audio steganography in the temporal domain, whereas the authors of [33] proposed a generalized joint adaptive intra-frame and adaptive inter-frame steganography method (called AHCM) within compressed audio streaming and implemented an AdaMP3Stego algorithm in MP3 audio based on the psychoacoustic model. To ensure hidden data robustness against LSB removal and re-sampling attacks, Ref.…”

Section: Related Workmentioning

confidence: 99%

Securing IoT Data Using Steganography: A Practical Implementation Approach

Djebbar

2021

Electronics

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Adding network connectivity to any “thing” can certainly provide great value, but it also brings along potential cybersecurity risks. To fully benefit from the Internet of Things “IoT” system’s capabilities, the validity and accuracy of transmitted data should be ensured. Due to the constrained environment of IoT devices, practical security implementation presents a great challenge. In this paper, we present a noise-resilient, low-overhead, lightweight steganography solution adequate for use in the IoT environment. The accuracy of hidden data is tested against corruption using multiple modulations and coding schemes (MCSs). Additive white Gaussian noise (AWGN) is added to the modulated data to simulate the noisy channel as well as several wireless technologies such as cellular, WiFi, and vehicular communications that are used between communicating IoT devices. The presented scheme is capable of hiding a high payload in audio signals (e.g., speech and music) with a low bit error rate (BER), high undetectability, low complexity, and low perceptibility. The proposed algorithm is evaluated using well-established performance evaluation techniques and has been demonstrated to be a practical candidate for the mass deployment of IoT devices.

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A Novel Steganography Approach for Audio Files

Cited by 16 publications

References 13 publications

Secure Audio Transmission Over Wireless Uncorrelated Rayleigh Fading Channel

Secure Audio Transmission Over Wireless Uncorrelated Rayleigh Fading Channel

Securing audio transmission based on encoding and steganography

Securing IoT Data Using Steganography: A Practical Implementation Approach

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